Tag Archives: NVIDIA

(Excerpt from original post on the Taneja Group News Blog)

Last month NVIDIA, our favorite GPU vendor, dived into the converged appliance space. In fact we might call their new NVIDIA DGX-1 a hyperconverged supercomputer in a 4U box. Designed to support the application of GPU’s to Deep Learning (i.e. compute intensive deeply layered neural networks that need to train and run in operational timeframes over big data), this beast has 8 new Tesla P100 GPUs inside on an embedded NVLink mesh, pre-integrated with flash SSDs, decent memory, and an optimized container-hosting deep learning software stack. The best part? The price is surprisingly affordable, and can replace the 250+ server cluster you might otherwise need for effective Deep Learning.

Today at #snyc18 learning about the latest in #serverless. Opportunity is huge (iRobot is 100% serverless and loving it @ben11kehoe ), but not a panacea, lots of work to do to build up full production applications yet according to Kelsey Hightower (google) @kelseyhightower .